Correlation Between Growth Differentiation Factor-15 and Peripheral Neuropathy in Patients with Type 2 Diabetes Mellitus.

Autor: Li, Yue, Wang, Yuhui, Cao, Yonghong, Zhang, Xinxiu, Dai, Wu, Zhao, Yiran, Zhang, Lei, Han, Xiaofang
Předmět:
Zdroj: Diabetes, Metabolic Syndrome & Obesity: Targets & Therapy; Aug2024, Vol. 17, p3019-3028, 10p
Abstrakt: Purpose: To inquire into the relationship between diabetic peripheral neuropathy (DPN) and serum levels of growth differentiation factor-15 (GDF-15) in individuals with type 2 diabetes mellitus (T2DM). Patients and Methods: Out of 162 T2DM patients classified according to the diagnostic criteria of DPN, 75 were allocated to the non-DPN group and 87 to the DPN group. In turn, based on serum GDF-15 quartiles, all patients were additionally divided (GDF-15 low to high) into group A (40 cases), group B (41 cases), group C (41 cases), and group D (40 cases). General data and laboratory indexes of patients were collected, and enzyme-linked immunosorbent assay (ELISA) was used to determine serum GDF-15 levels. Results: Compared to the non-DPN group, in the DPN group GDF-15 levels were noticeably greater (P < 0.001). Using serum GDF-15 as a grouping variable, DPN prevalence and body mass index were gradually increased, motor and sensory nerve latencies were gradually lengthened, and amplitude (Amp) and nerve conduction velocity (NCV) were gradually decreased with increasing GDF-15 levels (P < 0.05). Linear regression modeling revealed that GDF-15 levels correlated positively with the latencies of sensory and motor nerves, and negatively with their corresponding NCV (P < 0.05). Binary logistic regression results indicated GDF-15 as an independent predictor for DPN (P < 0.05), whereas restricted cubic spline analysis indicated a dose-response, nonlinear relationship between GDF-15 and DPN. Conclusion: Serum GDF-15 level strongly correlates with DPN, and may represent an independent predictor and a biological marker for the disease. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index